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- Jeff B. Boisvert, Clayton V. Deutsch
- Computers & Geosciences
- 2011

Geological deposits display nonlinear features such as veins, channels or folds that result in complex spatial anisotropies that are difficult to model with currently available geostatistical techniques. The methodology presented in this paper for incorporating locally varying anisotropy in kriging or sequential Gaussian simulation is based onmodifying how… (More)

- M. J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch
- Computers & Geosciences
- 2008

Geostatistical algorithms that consider multiple-point statistics are becoming increasingly popular. These methods allow for the reproduction of complicated features beyond the commonly implemented two-point statistic: the covariance or semivariogram. In practice, it is not possible to infer many multiple-point statistics directly from the available data;… (More)

- M. J. Pyrcz, Jeff B. Boisvert, Clayton V. Deutsch
- Computers & Geosciences
- 2009

- Jeff B. Boisvert
- 2012

Geostatistical modeling of reservoir properties is common in the assessment of expected reservoir flow. Typically, static properties such as porosity, saturation and permeability are modeled with geostatistical techniques to quantify the level of uncertainty in reservoir characterization. Lately, practitioners have become concerned that purely statistical… (More)

- Jeff B. Boisvert, O. Leuangthong, Julián M. Ortiz, Clayton V. Deutsch
- Computers & Geosciences
- 2008

Fracture models of vein formation can produce realistic training images (TIs) for use in multiple-point geostatistics. Vein formation is modeled by applying flow simulation to a fracture model to mimic the flow of an ore-bearing fluid through fractured rock. TIs are generated by assuming that veins form in areas of high flow where there would be… (More)

There has been a lot of interest to incorporate non-stationarity into geostatistical modeling. While first order non-stationarity can be easily considered using data transformations or considering a locally varying mean, the association of second order stationarity is less straightforward and few practical techniques exist. Current methodologies such as MPS… (More)

- Maksuda Lillah, Jeff B. Boisvert
- Computers & Geosciences
- 2015

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